This paper discusses alternative methods for determining returns to scale in DEA. The methods for estimating returns to scale in DEA, as developed by Banker (1984), Banker, Charnes and Cooper (1984) and Banker and Thrall (1992), are proved to be conceptually equivalent to the two-stage methods of F~ire, Grosskopf and Lovell (1985) when their assumptions apply. Here the emphasis is on the CCR mo...

Since the beginning of application Data Envelopment Analysis (DEA) model in various areas economy, it has found its wide field finance, more specifically banks, last few years. The focus this research was to determine sustainability intermediate function especially recent years when interest rates on deposits have been at a minimum level. divided into two parts, wherein first part determined ef...

In Data Envelopment Analysis (DEA), a variety of approaches have been used in the context single-stage and basic serial two-stage systems to attain fairness evaluation decision-making units (DMUs). Little work, however, has done address this challenge generalised structure featuring additional inputs second stage proportion first-stage outputs as final outputs. paper, we argue that context, is ...

In this study, the data envelopment analysis (DEA), three-stage DEA (3SDEA) and artificial neural network (ANN) are employed to measure the technical efficiency of 29 semi-conductor firms in Taiwan. Estimated results show that there are significant differences in efficiency scores among DEA, 3SDEA and ANN analysis. The advanced setting of the three stages mechanism of DEA does show some changes...

Data envelopment analysis (DEA) has been a wildly used powerful method to measure efficiencies of decision making units (DMUs). However, DEA efficiency scores are influenced by uncontrollable factors for respective DMUs. Previous studies attempted separating such factors from DEA scores. Fried et al. [4] proposed a multi-stage data adjustment approach using DEA and a regression model, and sever...